Karol Nycz, MSc, and Piotr Piechota, PhD, from the Department of Thermal Sciences were awarded in the faculty competition “Supporting Young Scientists 2025”. Their research project titled “Research on optimization of power supply in a horizontal electrostatic precipitator model to reduce electricity consumption” was selected among the five winning proposals in this year’s edition.

The project aims to simulate the operation of an electrostatic precipitator under laboratory conditions, collect experimental data, and develop a predictive model using artificial intelligence algorithms. The final stage involves performance optimization based on advanced techniques such as Genetic Algorithms and Particle Swarm Optimization.

Despite global trends in energy transition and the growing share of renewable energy sources, conventional power plants remain essential in ensuring energy security during the transformation period. Their operation, however, must be aligned with the goal of minimizing environmental impact. In Poland, advanced gas cleaning systems are commonly used, including deSOx, deNOx, and deHg installations. Electrostatic precipitators are the most frequently used solution for dust removal due to their high efficiency and low pressure drop.

Efficient control of electrostatic precipitators is crucial in reducing emissions of dust and particulate-bound mercury (Hg(p)). Traditional control methods have limitations, which is why modern approaches based on machine learning and optimization algorithms are gaining importance. Due to the complexity of processes occurring inside ESPs, comprehensive models are still lacking—practical applications typically use simplified models, such as the Deutsch equation.

The implementation of intelligent supervisory systems, based on mathematical prediction models and artificial intelligence, can significantly improve the efficiency of ESPs. Dynamic parameter control allows not only for reduced energy consumption but also supports achieving environmental policy goals while maintaining cost-effectiveness.

Congratulations!